Author

Jian Wu

Second Affiliated Hospital of Zhejiang UniversityORCID 0000-0002-3230-6392Unclaimed ORCID profile · follow to get notified of new preprints

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Jian Wu4 papers · Kunming Medical University

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:protein design· 2 Assay:protein sequence· 2 Approach:contrastive learning· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:large language model· 1

Frequent Co-Authors

Chang‐Yu HsiehiD· 2 shared Mingze YiniD· 2 shared Tingjun HouiD· 2 shared Hanjing Zhou· 1 shared Hongxia XuiD· 1 shared Hongxia XuiD· 1 shared Jialu WuiD· 1 shared Jingcheng WuiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Chang‐Yu HsiehORCID

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3 papers

Recent·Most cited

ProtFlow: Flow Matching-based Protein Sequence Design with Comprehensive Protein Semantic Distribution Learning and High-quality Generation

Zitai Kong, Yiheng Zhu, Yinlong Xu, Mingze Yin, Tingjun Hou, Jian Wu, Hongxia Xu, Chang‐Yu Hsieh

ProtFlow generates high-quality protein sequences by learning the full semantic distribution of protein space, outperforming existing methods in generating antimicrobial peptides with broad activity.

bioRxiv · Feb 17, 2026 · PreprintBioinformatics

Multi-Modal CLIP-Informed Protein Editing

Mingze Yin, Hanjing Zhou, Yiheng Zhu, Miao Lin, Yixuan Wu, Jialu Wu, Hongxia Xu, Chang‐Yu Hsieh, Tingjun Hou, Jintai Chen, Jian Wu

This paper introduces ProtET, a method for CLIP-informed protein editing using multi-modality learning, achieving significant improvements in protein stability and functionality.

Health Data Science · Jan 1, 2024Peer-reviewedBioinformatics

TSNAdb v2.0: the updated version of tumor-specific neoantigen database

Jingcheng Wu, Wenfan Chen, Yuxuan Zhou, Ying Chi, Xian‐Sheng Hua, Jian Wu, Xun Gu, Shuqing Chen, Zhan Mei Zhou

TSNAdb v2.0 updates the tumor-specific neoantigen database with stricter identification criteria, predicted neoantigens from three mutation types, and experimentally validated neoantigens classified by evidence.

Genomics Proteomics & Bioinformatics · Oct 6, 2022Peer-reviewedBioinformatics